Publication detail

Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430

FUJDIAK, R. MLÝNEK, P. MIŠUREC, J. SLÁČIK, J.

Original Title

Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430

Type

conference paper

Language

English

Original Abstract

The Internet of Things (IoT) is undoubtedly a current topic for private and public sector. Nowadays, the communication technologies allow to connect even a simplest physical object often with very limited physical resources. The IoT cover among the others also many areas with sensitive data, where the limited devices are also used. The use of these limited devices keep the security issue as a difficult task. The symmetric ciphers are often considered as a best way to encrypt the communication in the limited devices. Despite the fact that there are many hardware optimized solutions, there are still areas where these solutions cannot be used i.e. due to the limiting price or power. This paper focus on a software optimization of the symmetric cipher on limited micro-controller. Two main implementation are introduced. Further, we provide experimental measurements and possible suggestions for time consumption and memory use reduction.

Keywords

Advanced Encryption Standard, symmetric cipher, software optimization, Internet of Things, limited devices

Authors

FUJDIAK, R.; MLÝNEK, P.; MIŠUREC, J.; SLÁČIK, J.

Released

8. 4. 2017

Publisher

Springer

Location

Cham

ISBN

978-3-319-57261-1

Book

Artificial Intelligence Trends in Intelligent Systems

Edition

Advances in Intelligent Systems and Computing

Edition number

573

ISBN

2194-5357

Periodical

Advances in Intelligent Systems and Computing

Year of study

575

Number

3

State

Swiss Confederation

Pages from

469

Pages to

478

Pages count

10

URL

BibTex

@inproceedings{BUT137833,
  author="Radek {Fujdiak} and Petr {Mlýnek} and Jiří {Mišurec} and Ján {Sláčik}",
  title="Software Optimization of Advanced Encryption Standard for Ultra-Low-Power MSP430",
  booktitle="Artificial Intelligence Trends in Intelligent Systems",
  year="2017",
  series="Advances in Intelligent Systems and Computing",
  journal="Advances in Intelligent Systems and Computing",
  volume="575",
  number="3",
  pages="469--478",
  publisher="Springer",
  address="Cham",
  doi="10.1007/978-3-319-57141-6\{_}50",
  isbn="978-3-319-57261-1",
  issn="2194-5357",
  url="https://link.springer.com/chapter/10.1007/978-3-319-57141-6_50"
}